Z Image Turbo Fun ControlNet Union 2.1

--- license: apache-2.0 library_name: videox_fun --- # Z-Image-Turbo-Fun-Controlnet-Union-2.1 [](https://github.com/aigc-apps/VideoX-Fun) ## Update - **[2026.02.26]** Update to version 2602, with support for Gray Control. - **[2026.01.12]** Update to version 2601, with support for Scribble Control. Added lite models (1.9GB, 5 layers). Retrained Control and Tile models with enriched mask varieties, improved training schedules, and multi-resolution control images (512~1536) to fix mask pattern leakage and large `control_context_scale` artifacts. - **[2025.12.22]** Performed 8-step distillation on v2.1 to restore acceleration lost when applying ControlNet. Uploaded a tile model for super-resolution. - **[2025.12.17]** Fixed v2.0 typo (`control_layers` used instead of `control_noise_refiner`), which caused double forward pass and slow inference. Speed restored in v2.1. ## Model Card ### a. 2602 Models | Name | Description | |--|--| | Z-Image-Turbo-Fun-Controlnet-Union-2.1-2602-8steps.safetensors | Supports multiple control conditions (Canny, Depth, Pose, MLSD, Hed, Scribble, and Gray).| | Z-Image-Turbo-Fun-Controlnet-Union-2.1-lite-2602-8steps.safetensors | Same training scheme as the 2601 version, but with control applied to fewer layers. Supports multiple control conditions (Canny, Depth, Pose, MLSD, Hed, Scribble, and Gray). | ### b. 2601 Models | Name | Description | |--|--| | Z-Image-Turbo-Fun-Controlnet-Union-2.1-2601-8steps.safetensors | Compared to the old version, this model uses more diverse masks, a more reasonable training schedule, and multi-resolution control images (512–1536) instead of single resolution (512). This reduces artifacts and mask information leakage while improving robustness. Supports multiple control conditions (Canny, Depth, Pose, MLSD, Hed, and Scribble). | | Z-Image-Turbo-Fun-Controlnet-Tile-2.1-2601-8steps.safetensors | Compared to the old version, uses higher training resolution and a more refined distillation schedule, reducing bright spots and artifacts. | | Z-Image-Turbo-Fun-Controlnet-Union-2.1-lite-2601-8steps.safetensors | Same training scheme as the 2601 version, but with control applied to fewer layers, resulting in weaker control. This allows for larger control_context_scale values with more natural results, and is also better suited for lower-spe...

Source context: 85550 downloads · 462 likes · Library videox_fun · Repo alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1

Source context: 76150 downloads · 433 likes · Library videox_fun · Repo alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1